Information processing apparatus and information processing method

    公开(公告)号:US11973695B2

    公开(公告)日:2024-04-30

    申请号:US18056785

    申请日:2022-11-18

    CPC classification number: H04L47/805 H04L47/823 H04L47/83

    Abstract: An information processing apparatus comprises a controller. The controller is configured to execute: acquiring a plurality of datasets, each of the datasets being configured with a combination of training data and a correct answer label; and implementing machine learning of an estimation model using the acquired plurality of datasets, wherein the training data includes workload information about an application constructed based on a microservice architecture and resource use information about resources used for each of components included in the application, in a learning target environment, the correct answer label is configured to show a true value of quality of service of the application, and the machine learning comprises training the estimation model such that, for each of the datasets, an estimated value of the quality of service calculated with the estimation model based on the training data corresponds to the true value shown by the correct answer label.

    Peridynamic method having additional mirroring node, and numerical analysis apparatus using same

    公开(公告)号:US11960804B2

    公开(公告)日:2024-04-16

    申请号:US16959942

    申请日:2018-01-19

    CPC classification number: G06F30/23 G06F17/16 G06F9/3836

    Abstract: A peridynamic method having an added mirroring node according to embodiments of the present invention includes: a first step of calculating a shape tensor of a first node; a second step of calculating force state vectors of the first node and each of a plurality of second nodes by using the shape tensor; and a third step of calculating a peridynamic motion equation of the first node by using the force state vectors. The first node is a node located on a boundary of a structure and has a predetermined size horizon region, the plurality of second nodes is nodes in the horizon region, the plurality of second nodes includes one or more third nodes, and the third node is a second node having no node at a point which is origin-symmetrical based on the first node among the plurality of second nodes. In the first step, the shape tensor is calculated by using a position value in which the third node is origin-symmetrical based on the first node.

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